Building a Dictionary of Affixal Negations

Chantal van Son; Emiel van Miltenburg; Roser Morante

Building a Dictionary of Affixal Negations

Chantal van Son, Emiel van Miltenburg, Roser Morante

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

This paper discusses the need for a dictionary of affixal negations and regular antonyms to facilitate their automatic detection in text. Without such a dictionary, affixal negations are very difficult to detect. In addition, we show that the set of affixal negations is not homogeneous, and that different NLP tasks may require different subsets. A dictionary can store the subtypes of affixal negations, making it possible to select a certain subset or to make inferences on the basis of these subtypes. We take a first step towards creating a negation dictionary by annotating all direct antonym pairs inWordNet using an existing typology of affixal negations. By highlighting some of the issues that were encountered in this annotation experiment, we hope to provide some insights into the necessary steps of building a negation dictionary.

Original language	English
Title of host publication	Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM)
Place of Publication	Osaka, Japan
Publisher	The COLING 2016 Organizing Committee
Pages	49-56
Number of pages	8
Publication status	Published - 1 Dec 2016
Externally published	Yes

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Cite this

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title = "Building a Dictionary of Affixal Negations",

abstract = "This paper discusses the need for a dictionary of affixal negations and regular antonyms to facilitate their automatic detection in text. Without such a dictionary, affixal negations are very difficult to detect. In addition, we show that the set of affixal negations is not homogeneous, and that different NLP tasks may require different subsets. A dictionary can store the subtypes of affixal negations, making it possible to select a certain subset or to make inferences on the basis of these subtypes. We take a first step towards creating a negation dictionary by annotating all direct antonym pairs inWordNet using an existing typology of affixal negations. By highlighting some of the issues that were encountered in this annotation experiment, we hope to provide some insights into the necessary steps of building a negation dictionary.",

author = "{van Son}, Chantal and {van Miltenburg}, Emiel and Roser Morante",

year = "2016",

month = dec,

day = "1",

language = "English",

pages = "49--56",

booktitle = "Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM)",

publisher = "The COLING 2016 Organizing Committee",

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Building a Dictionary of Affixal Negations. / van Son, Chantal; van Miltenburg, Emiel; Morante, Roser.
Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM). Osaka, Japan: The COLING 2016 Organizing Committee, 2016. p. 49-56.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Building a Dictionary of Affixal Negations

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AU - van Miltenburg, Emiel

AU - Morante, Roser

PY - 2016/12/1

Y1 - 2016/12/1

N2 - This paper discusses the need for a dictionary of affixal negations and regular antonyms to facilitate their automatic detection in text. Without such a dictionary, affixal negations are very difficult to detect. In addition, we show that the set of affixal negations is not homogeneous, and that different NLP tasks may require different subsets. A dictionary can store the subtypes of affixal negations, making it possible to select a certain subset or to make inferences on the basis of these subtypes. We take a first step towards creating a negation dictionary by annotating all direct antonym pairs inWordNet using an existing typology of affixal negations. By highlighting some of the issues that were encountered in this annotation experiment, we hope to provide some insights into the necessary steps of building a negation dictionary.

AB - This paper discusses the need for a dictionary of affixal negations and regular antonyms to facilitate their automatic detection in text. Without such a dictionary, affixal negations are very difficult to detect. In addition, we show that the set of affixal negations is not homogeneous, and that different NLP tasks may require different subsets. A dictionary can store the subtypes of affixal negations, making it possible to select a certain subset or to make inferences on the basis of these subtypes. We take a first step towards creating a negation dictionary by annotating all direct antonym pairs inWordNet using an existing typology of affixal negations. By highlighting some of the issues that were encountered in this annotation experiment, we hope to provide some insights into the necessary steps of building a negation dictionary.

M3 - Conference contribution

SP - 49

EP - 56

BT - Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM)

PB - The COLING 2016 Organizing Committee

CY - Osaka, Japan

ER -

Building a Dictionary of Affixal Negations

Abstract

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